The following information has been supplied by the Sales department of an IT company in Dublin (sales are in units).Sales100Year Period2010Q1Q2Q32011201220138 8 8 8 8 8 8 8 8 8 8 8O 8.91.76OC 119.50OD. 119.8804Q1Q2Q3Q4Q1Q2Q4Q1Q2Q4125127102104128130107110131133107109132135105The centered four-period moving average for the first quarter of 2012 (rounded off to two decimal) is:A 120.25

The values of sales for first, 2nd, 3rd and 4th quarter of 2012 are 110,121,133 and 107…

Answered: The following information has been…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A small detergent company in Karachi is confident that their sales are growing significantly week by week. Treating sales for the previous eight weeks as a typical example of this increasing trend, they recorded them in PKR 1000's and examined the results. Week 1 2 3 4 5 6 Sales (in PKR) 2.59 2.55 2.63 2.68 2.74 2.83 2.86 2.99 a) Plot a scatter diagram between week and sales. b) Find the equation of regression line. c) Find the expected sales for 12 week d) Find the correlation coefficient between the two variables.
Following shows the numbers of Amazon Prime members in the millions, each quarter from 2016 to 2021. Quarter 2016 2017 2018 2019 2020 2021 1 26 36 48 62 81 98 2 27 37 50 65 83 103 3 29 40 53 69 86 109 4 33 44 57 74 93 117 Construct a line chart using the data. Describe the relationship between the time and number of subscribers.
a. Compute a three-period moving average for these stock prices (in R, order = 3). What are the first two moving average values? (Round your answer to two decimal points) First: $ Second: $
Table #10.1.6 contains the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013). Find the correlation coefficient of determination and then interpret both Table #10.1.6: Data of House Value versus Rental Value Rental Value Rental Value Rental Rental Value 67500 81000 6656 77000 4576 75000 7280 6864 95000 7904 94000 8736 90000 6240 85000 7072 121000 12064 115000 7904 110000 7072 104000 7904 135000 8320 130000 9776 126000 6240 125000 7904 145000 8320 140000 9152 7488 9568 140000 135000 7488 165000 13312 165000 8528 155000 148000 8320 178000 11856 174000 10400 170000 9568 170000 12688 匯 190000 200000 225000 8320 12272 8528 200000 200000 10608 194000 11232 8320 10400 11648 10192 12272 10400 200000 240000 214000 208000 240000 10192 240000 12064 12480 244500 11232 12896 12480 289000 11648 270000 262000 325000 12480 310000 303000 300000 12480
The table gives information about the number of people staying in a hotel each quarter in 2020 and in 2021.Calculate the 4-point moving averages for this information. year 2020 2021 quarter 1 2 3 4 1 2 3 4 people 261 353 372 290 193 309 292 202
Month Actual demand Forecasted Demand 1 950 1000 2 1070 1000 3 1100 1000 4 960 1000 5 1090 1000 6 1050 1000 For the dataset above, compute the overall MAPE.
Consider the following data: Month Profit ($) Answer Monthly Profit of an Auto Repair Shop Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 15,608 15,758 14,555 16,612 18,263 17,160 19,147 18,413 20,194 Step 2 of 4: Determine the three-period weighted moving average for the next time period with weights of 3 (most recent), 2 (second latest time period), and 1 (oldest time period). If necessary, round your answer to one decimal place. Keypad Keyboard Shortcuts Tables
Q. 4.
The following time series shows the sales of supermarket chain over the last six months. Month Sales ($ 000) August 2021 250 Sep 2021 280 Oct 2021 295 Nov 2021 320 Dec 2021 380 Jan 2022 360 Develop a linear trend equation that can be used to forecast sales in Feb 2022. Forecast the sales in Feb 2021 using a three-period weighted moving average designed with the following weights: Nov 2021 weight 0.6, Dec 2021 weight 0.3 and Jan 2022 weight 0.1. Which method (A or B) is the best? Explain why.
Mlustration 12. From the following data compute the 3-yearly and 5-yearly moving averages and: Year : 1 3 4 7 8 9. 10 11 Values : 25 30 34 37 39 40 40 39 37 34 30
Activity 3 A property developer analyzed the amount of office space available in 40 office blocks in the CBD of Gobabis. The following floor areas were recorded. 175 150 178 144 182 172 126 143 146 116 182 140 162 155 176 140 165 165 142 165 168 120 160 155 170 162 177 164 158 118 135 162 195 124 135 150 178 190 160 185 Is the data Continuous or discrete Quantitative or qualitative. Nominal, ordinal, ratio or interval scaled? Determine the range of the data. Use Sturges Rule to determine k, the number of classes, also determine the class width and the appropriate class limits. Construct a frequency distribution for the data. Construct a histogram for the data. Interpret your histogram. Construct a frequency polygon and interpret it. Construct a less than ogive for the data. Construct a more than ogive for the data. From your graph what percentage of office blocks has available…
The below data represent the advertising expenditure and sales of Little Liu Ltd from year 2008 to 2017. Table: Advertising Expenditure vs. Sales from 2008 to 2017 Year Advert. Expenditure Sales (x, £000) (y, £000) 2008 8 30 2009 12 40 2010 11 29 2011 5 29 2012 14 43 2013 3 17 2014 6 20 2015 8 30 2016 4 22 2017 9 40 Total 80 300 Figure: Scatter Diagram of Advertising Expenditure and Sales with Trend line ( See picture) What is the statistical relationship shown in the Figure and list out 3 characteristics of this relationship? 2. Work out the values of parameters of the relationship shown in the Figure (i.e. work out the equation of the relationship). 3.Explain the relationship and make recommendations to Little Liu Ltd based on the information given.

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